class_docstr: The class wrapper the PGL graph, the class involve the funtions to implement struc2vec algorithm.
docstr: The basic function to calculate the distance between two list with different length.
docstr_tok: ["The","basic","function","to","calculate","the","distance","between","two","list","with","different","length","."]
code: def distance_func(self, a, b):
      """
      The basic function to calculate the distance between two list with different length.
      """
      ep = 0.5
      m = max(a, b) + ep
      mi = min(a, b) + ep
      return (m / mi) - 1
  
imports: import argparse
  import math
  import random
  import numpy
  import pgl
  from pgl import graph
  from pgl.graph_kernel import alias_sample_build_table
  from pgl.sample import alias_sample
  from data_loader import EdgeDataset
  from classify import train_lr_model
  from sklearn_classify import train_lr_l2_model
label_desc: Use image node_id 2 for calling the StrucVecGraph obj's underlying member method code with example usage: obj.distance_func(a, b) and returns: unknown